CN-122020884-A - Spare part demand determining method and device for aero-engine based on condition-based maintenance mode

CN122020884ACN 122020884 ACN122020884 ACN 122020884ACN-122020884-A

Abstract

The invention relates to the technical field of aeroengine spare part prediction, and discloses a spare part demand determining method and device of an aeroengine based on an on-line maintenance mode, wherein the method triggers the aeroengine to execute a preset maintenance task through a simulation tool according to state variable parameters of the aeroengine and a fleet model of the aeroengine; when the maintenance factory has an idle maintenance position, workshop maintenance is carried out on the engine to be maintained in a preset maintenance task according to maintenance execution strategies and maintenance constraint conditions, the maintenance period, maintenance cost and maintenance time of the engine to be maintained are determined, and the corresponding spare part requirements of the engine to be maintained are determined according to the maintenance period, maintenance cost and maintenance time of the engine to be maintained. Therefore, even when the new model aero-engine or the operation and maintenance data are insufficient, the prediction capability is not obviously restricted, and the accuracy of spare part requirements of the aero-engine can be improved.

Inventors

WANG SHAOHUA
LI WEI
JIN HAILIANG
SUN JIANZHONG
ZHANG XIAOSHUANG
Liu du
LENG KUN
ZHANG WEI

Assignees

中国航发湖南动力机械研究所

Dates

Publication Date: 20260512
Application Date: 20260112

Claims (10)

1. A method for determining the demand for spare parts of an aircraft engine in an on-demand maintenance mode, the method comprising: Acquiring service life distribution parameters, maintenance execution strategies, maintenance constraint conditions and state variable parameters of the aeroengine; according to the life distribution parameters of the aero-engine, constructing an aero-engine individual model of the aero-engine through a simulation tool; according to the maintenance execution strategy and the maintenance constraint conditions, simulating and running a plurality of individual aircraft engine models through the simulation tool to form an aircraft engine fleet model; triggering the aeroengine to execute a preset maintenance task through the simulation tool according to the state variable parameters of the aeroengine and the fleet model of the aeroengine; When an idle maintenance position exists in a maintenance factory, performing workshop maintenance on the engine to be maintained in the preset maintenance task according to a maintenance execution strategy and maintenance constraint conditions, and determining the maintenance period, maintenance cost and maintenance time of the engine to be maintained; And determining the spare part requirements corresponding to the engine to be maintained according to the maintenance period, the maintenance cost and the maintenance time of the engine to be maintained.
2. The method as recited in claim 1, further comprising: and updating a spare part library when the engine to be maintained is completed according to the maintenance time, or updating the spare part library when the simulation time for running a plurality of individual models of the aeroengine through the simulation tool reaches a spare part purchasing period.
3. The method according to claim 1, wherein the life distribution parameters of the aero-engine are obtained by fitting a plurality of influence factor data and historical flight data of the aero-engine under different preset conditions.
4. The method according to claim 1, wherein the repair execution strategy of the aircraft engine is generated for repair type and time of flight, respectively, according to a preventive repair regime and a repairable repair regime.
5. The method of claim 1, wherein the maintenance constraints include outfield maintenance constraints, return-to-plant maintenance constraints, and resource constraints of a spare part library, the state variable parameters of the aircraft engine include a flight accumulation time, a flight accumulation number, and a health state parameter, and simulating, by the simulation tool, running a plurality of individual models of the aircraft engine according to the maintenance execution strategy and the maintenance constraints to form an aircraft engine fleet model, comprising: And according to the outfield maintenance constraint conditions, the return-to-factory maintenance constraint conditions and the resource constraint conditions of the spare part library, simulating and running a plurality of individual models of the aero-engines through a simulation tool, iteratively increasing the flight accumulation time and the flight accumulation times, and monitoring the health state parameters of the aero-engines to form the aircraft engine fleet model.
6. The method of claim 1, wherein the predetermined maintenance tasks include a planned maintenance task, triggering the aircraft engine to perform the predetermined maintenance tasks via the simulation tool based on the state variable parameters of the aircraft engine and the aircraft engine fleet model, comprising: And triggering a planned maintenance task of the aircraft engine fleet model through the simulation tool according to the state variable parameters of the aircraft engine, and executing corresponding maintenance actions according to a maintenance execution strategy according to a planned checking task or a planned issuing task in the planned maintenance task.
7. The method of claim 1, wherein the predetermined maintenance tasks include an unscheduled maintenance task, triggering the aircraft engine to perform the predetermined maintenance tasks via the simulation tool based on the state variable parameters of the aircraft engine and the aircraft engine fleet model, comprising: Triggering the aeroengine to execute an unscheduled maintenance task through the simulation tool according to the state variable parameters of the aeroengine and the fleet model of the aeroengine, and executing corresponding maintenance actions according to a maintenance execution strategy according to engine faults or line replaceable unit faults in the unscheduled maintenance task.
8. An aero-engine spare part demand prediction apparatus based on an on-line maintenance mode, the apparatus comprising: the related parameter acquisition module is used for acquiring service life distribution parameters, maintenance execution strategies, maintenance constraint conditions and state variable parameters of the aeroengine; The first model building module is used for building an individual model of the aeroengine through a simulation tool according to the life distribution parameters of the aeroengine; the second model building module is used for simulating and running a plurality of individual aircraft engine models through the simulation tool according to the maintenance execution strategy and the maintenance constraint conditions to form an aircraft engine fleet model; The maintenance task triggering module is used for triggering the aeroengine to execute a preset maintenance task through the simulation tool according to the state variable parameters of the aeroengine and the aeroengine fleet model; The maintenance action execution module is used for performing workshop maintenance on the engine to be maintained in the preset maintenance task according to a maintenance execution strategy and maintenance constraint conditions when an idle maintenance position exists in a maintenance factory, and determining the maintenance period, the maintenance cost and the maintenance time of the engine to be maintained; And the spare part demand determining module is used for determining the spare part demand corresponding to the engine to be maintained according to the maintenance period, the maintenance cost and the maintenance time of the engine to be maintained.
9. An electronic device, comprising: A memory and a processor communicatively coupled to each other, the memory having stored therein computer instructions that, upon execution, perform the method of determining the need for a spare part of an aircraft engine in an on-line maintenance mode of any one of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon computer instructions for causing a computer to perform the method for determining the need for a spare part of an aircraft engine in an on-line maintenance mode according to any one of claims 1 to 7.

Description

Spare part demand determining method and device for aero-engine based on condition-based maintenance mode Technical Field The invention relates to the technical field of aero-engine spare part prediction, in particular to a spare part demand determining method and device of an aero-engine based on an on-the-scene maintenance mode. Background The aeroengine is used as a core power device of an aircraft, has a complex structure and high reliability requirement, and can run under severe working conditions such as high temperature, high pressure and the like for a long time, and the aeroengine is inevitably degraded in performance or fails. Modern aircraft engines commonly employ a Condition-based maintenance (CBM) mode in which the aircraft engine is no longer regularly returned to service, but instead maintenance decisions are dynamically made based on the actual health of the aircraft engine. In the related art, a large amount of historical operation and maintenance data is generally relied on to predict the spare part requirements of the aero-engine in a condition-dependent mode, but when the new model aero-engine or the condition of insufficient operation and maintenance data occurs, the prediction capability is obviously restricted, and the accuracy of the spare part requirements of the aero-engine is further affected. Disclosure of Invention The invention provides a spare part demand determining method and device for an aeroengine based on an on-line maintenance mode, which are used for solving the problem that when the condition of insufficient operation and maintenance data of a new model aeroengine occurs, the prediction capability is obviously restricted, so that the accuracy of the spare part demand of the aeroengine is affected. In a first aspect, the present invention provides a method for determining a spare part requirement of an aeroengine in an on-line maintenance mode, the method comprising: Acquiring service life distribution parameters, maintenance execution strategies, maintenance constraint conditions and state variable parameters of the aeroengine; According to life distribution parameters of the aero-engine, constructing an aero-engine individual model of the aero-engine through a simulation tool; according to the maintenance execution strategy and maintenance constraint conditions, a plurality of individual models of the aero-engines are simulated and operated through a simulation tool, so that a model of the aero-engines is formed; triggering the aeroengine to execute a preset maintenance task through a simulation tool according to the state variable parameters of the aeroengine and the model of the aeroengine fleet; when an idle maintenance position exists in a maintenance factory, performing workshop maintenance on the engine to be maintained in a preset maintenance task according to a maintenance execution strategy and maintenance constraint conditions, and determining the maintenance period, maintenance cost and maintenance time of the engine to be maintained; And determining the spare part requirements corresponding to the engine to be maintained according to the maintenance period, the maintenance cost and the maintenance time of the engine to be maintained. In some optional implementations, the method for determining the requirement of the spare part of the aeroengine based on the condition-based maintenance mode in the embodiment of the present invention further includes: And updating the spare part library when the engine to be maintained is completed according to the maintenance time, or updating the spare part library when the simulation time of running a plurality of individual aeroengine models through simulation of the simulation tool reaches the spare part purchasing period. In some alternative embodiments, the life distribution parameters of the aero-engine are obtained by fitting various influence factor data and historical flight data of the aero-engine under different preset conditions. In some alternative embodiments, repair execution strategies for the aircraft engine are generated for repair types and time of flight, respectively, according to preventative repair patterns and repair patterns. In some alternative embodiments, the maintenance constraints include outfield maintenance constraints, return-to-factory maintenance constraints and resource constraints of the spare part library, the state variable parameters of the aircraft engine include a flight accumulation time, a flight accumulation number and a health state parameter, and according to the maintenance execution strategy and the maintenance constraints, the individual models of the aircraft engine are simulated by a simulation tool to run to form an aircraft engine fleet model, including: According to the outfield maintenance constraint condition, the return-to-factory maintenance constraint condition and the resource constraint condition of the spare part library, a plurality of individual aircraft en